Regression line on weight and result
With regression analysis we can check if there is a relationship between a dependent (also called outcome variable) and an independent variable. In this statistic, the relationship between the weight of a rider and the result (outcome) is investigated.
The formula for the regression line on the riders in the result is as follows:
The formula for the regression line on the riders in the result is as follows:
result = 0.4 * weight - 16
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | BUTS Vitaliy | 68 |
| 4 | BOEV Igor | 74 |
| 6 | FOLIFOROV Alexander | 61 |
| 7 | ZAKARIN Ilnur | 67 |
| 8 | STASH Mamyr | 77 |
| 12 | ARSLANOV Ildar | 63 |
| 14 | VASYLYUK Andriy | 65 |
| 17 | TATARINOV Gennadiy | 67 |
| 22 | EDMÜLLER Benjamin | 70 |
| 23 | VASILYEV Maksym | 70 |
| 27 | SEROV Alexander | 77 |